Abstract
Smart grid is the next generation of electricity generation, transmission and distribution technology. A major component of smart grid is an overlay communication network for two-way communication between the power providers and the customers. With this feature smart grid provides exciting new ways of energy management and conservation. One of ways to conserve energy using a smart grid is to control and optimize energy usage in buildings. Buildings consume more than one third of the energy produced in the world. Therefore, conserving energy in buildings is cited as the “most important fuel” in energy generation. To this end, we have developed a self-managing approach to optimize energy usage in buildings. We have evaluated our approach using a software tool called Power Conservation Analysis Tool (PCAT). Our initial results using PCAT show upto 38% savings in the energy bills of customers that could directly translates into reduction in energy production costs for power producers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Energy Use in the New Millennium – Trends in IEA Countries. International Energy Agency (2007)
The smart grid: An introduction. US Department of Energy (2009)
Abras, S., Pesty, S., Ploix, S., Jacomino, M.: An anticipation mechanism for power management in a smart home using multi-agent systems. In: 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2008, pp. 1–6 (2008), doi:10.1109/ICTTA.2008.4530305
Alkar, A., Buhur, U.: An internet based wireless home automation system for multifunctional devices. IEEE Transactions on Consumer Electronics 51(4), 1169–1174 (2005), doi:10.1109/TCE.2005.1561840
Dinusha Rathnayaka, A.J., Potdar, V.M., Kuruppu, S.J.: Energy Resource Management in Smart Home: State of the Art and Challenges Ahead. In: MSirdi, N., Namaane, A., Howlett, R.J., Jain, L.C., Howlett, R.J., Jain, L.C. (eds.) Sustainability in Energy and Buildings. SIST, vol. 12, pp. 403–411. Springer, Heidelberg (2012)
Feinberg, R.: Achieving customer acceptance of the smart grid. The Intelligent Project (2009)
Gárate, A., Herrasti, N., López, A.: Genio: an ambient intelligence application in home automation and entertainment environment. In: sOc-EUSAI 2005: Proceedings of the 2005 Joint Conference on Smart Objects and Ambient Intelligence, pp. 241–245. ACM, New York (2005), http://doi.acm.org/10.1145/1107548.1107609
Gill, K., Yang, S.H.Y.S.H., Yao, F.Y.F., Lu, X.L.X.: A zigbee-based home automation system (2009), http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5174403
Ha, D.L., de Lamotte, F., Huynh, Q.H.: Real-time dynamic multilevel optimization for demand-side load management. In: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 945–949 (2007), doi:10.1109/IEEM.2007.4419331
Javed, F., Arshad, N.: A penny saved is a penny earned: Applying optimization techniques to power management. In: 16th IEEE International Conference on the Engineering of Computer- Based Systems (ECBS 2009), San Francisco, CA, USA, April 13-16 (2009)
Milenkovic, M., Castro-Leon, E., Blakley, J.R.: Power-Aware Management in Cloud Data Centers. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 668–673. Springer, Heidelberg (2009)
Nathuji, R., Isci, C., Gorbatov, E.: Exploiting platform heterogeneity for power efficient data centers. In: Fourth International Conference on Autonomic Computing, ICAC 2007, June 11-15, p. 5 (2007), doi:10.1109/ICAC.2007.16
Pérez-Lombard, L., Ortiz, J., Pout, C.: A review on buildings energy consumption information. Energy and Buildings 40(3), 394–398 (2008), http://www.sciencedirect.com/science/article/B6V2V-4N8BMX9-2/2/5d59d6827f1f8d36a2a6480a0c95650e , doi:10.1016/j.enbuild.2007.03.007
Wallin, F., Bartusch, C., Thorin, E., Bdckstrom, T., Dahlquist, E.: The use of automatic meter readings for a demand-based tariff, pp. 1–6 (2005), doi:10.1109/TDC.2005.1547125
Wallin, F., Dotzauer, E., Thorin, E., Dahlquist, E.: Automatic meter reading provides opportunities for new prognosis and simulation methods, pp. 2006–2011 (2007), doi:10.1109/PCT.2007.4538626
Yuksekkaya, B., Kayalar, A., Tosun, M., Ozcan, M., Alkar, A.: A gsm, internet and speech controlled wireless interactive home automation system. IEEE Transactions on Consumer Electronics 52(3), 837–843 (2006), doi:10.1109/TCE.2006.1706478
Zhu, X., Young, D., Watson, B., Wang, Z., Rolia, J., Singhal, S., McKee, B., Hyser, C., Gmach, D., Gardner, R., Christian, T., Cherkasova, L.: 1000 islands: Integratedcapacity and workload management for the next generation data center. In: International Conference on Autonomic Computing, ICAC 2008, pp. 172–181 (2008), doi:10.1109/ICAC.2008.32
Zigbee, http://www.zigbee.org/ (accessed March 20, 2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Arshad, N., Javed, F., Liaqat, M.D. (2013). Towards a Self-managing Tool for Optimizing Energy Usage in Buildings. In: Hakansson, A., Höjer, M., Howlett, R., Jain, L. (eds) Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36645-1_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-36645-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36644-4
Online ISBN: 978-3-642-36645-1
eBook Packages: EngineeringEngineering (R0)